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Cited by 162

The DOI matches its Crossref record.

Qualitative Research in Applied Linguistics

·2009

Abstract

Written in a clear, informal style for graduate students and practicing teachers embarking on their first qualitative research study in applied linguistics, leading authors introduce the principal res

Overview

Integrity signals

Registry

Crossref · 10.1057/9780230239517

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Citations

Metadata

Published
2009
Cited by
162
References
0
Language
en
Licence
www.springer.com/tdm (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Qualitative Research in Applied Linguistics. https://app.cochat.ai/papers/10.1057/9780230239517
The paper
Qualitative Research in Applied Linguistics. (2009). https://doi.org/10.1057/9780230239517

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.